Fast support vector machine training and classification on graphics processors. - Bryan Catanzaro; Narayanan Sundaram; Kurt Keutzer (ICML, 2008)

Optimizing the use of GPU memory in applications with large data sets. - Nadathur Satish; Narayanan Sundaram; Kurt Keutzer (HiPC, 2009)

Efficient, high-quality image contour detection. - Bryan Catanzaro; Bor-Yiing Su; Narayanan Sundaram; Yunsup Lee; Mark Murphy; Kurt Keutzer (ICCV, 2009)

A framework for efficient and scalable execution of domain-specific templates on GPUs. - Narayanan Sundaram; Anand Raghunathan; Srimat T. Chakradhar (IPDPS, 2009)

Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. - Narayanan Sundaram; Thomas Brox; Kurt Keutzer (ECCV (1), 2010)

PALLAS: Mapping Applications onto Manycore. - Michael J. Anderson; Bryan Catanzaro; Jike Chong; Ekaterina Gonina; Kurt Keutzer; Chao-Yue Lai; Mark Murphy; Bor-Yiing Su; Narayanan Sundaram (Multiprocessor System-on-Chip, 2011)

Considerations When Evaluating Microprocessor Platforms. - Michael J. Anderson; Bryan Catanzaro; Jike Chong; Ekaterina Gonina; Kurt Keutzer; Chao-Yue Lai; Mark Murphy; David Sheffield; Bor-Yiing Su; Narayanan Sundaram (HotPar, 2011)

Long term video segmentation through pixel level spectral clustering on GPUs. - Narayanan Sundaram; Kurt Keutzer (ICCV Workshops, 2011)

Making Computer Vision Computationally Efficient. - Narayanan Sundaram (2012)

Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing. - Narayanan Sundaram; Aizana Turmukhametova; Nadathur Satish; Todd Mostak; Piotr Indyk; Samuel Madden 001; Pradeep Dubey (Proc. VLDB Endow., 2013)

Pardicle: Parallel Approximate Density-Based Clustering. - Md. Mostofa Ali Patwary; Nadathur Satish; Narayanan Sundaram; Fredrik Manne; Salman Habib; Pradeep Dubey (SC, 2014)

Navigating the maze of graph analytics frameworks using massive graph datasets. - Nadathur Satish; Narayanan Sundaram; Md. Mostofa Ali Patwary; Jiwon Seo 002; Jongsoo Park; Muhammad Amber Hassaan; Shubho Sengupta; Zhaoming Yin; Pradeep Dubey (SIGMOD Conference, 2014)

GenBase: a complex analytics genomics benchmark. - Rebecca Taft; Manasi Vartak; Nadathur Rajagopalan Satish; Narayanan Sundaram; Samuel Madden 001; Michael Stonebraker (SIGMOD Conference, 2014)

Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. - Jongsoo Park; Mikhail Smelyanskiy; Narayanan Sundaram; Pradeep Dubey (ISC, 2014)

Scalable Bayesian Optimization Using Deep Neural Networks. - Jasper Snoek; Oren Rippel; Kevin Swersky; Ryan Kiros; Nadathur Satish; Narayanan Sundaram; Md. Mostofa Ali Patwary; Prabhat; Ryan P. Adams (ICML, 2015)

Improving graph partitioning for modern graphs and architectures. - Dominique LaSalle; Md. Mostofa Ali Patwary; Nadathur Satish; Narayanan Sundaram; Pradeep Dubey; George Karypis (IA3@SC, 2015)

BD-CATS: big data clustering at trillion particle scale. - Md. Mostofa Ali Patwary; Surendra Byna; Nadathur Rajagopalan Satish; Narayanan Sundaram; Zarija Lukic; Vadim Roytershteyn; Michael J. Anderson; Yushu Yao; Prabhat; Pradeep Dubey (SC, 2015)

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. - Yida Wang 003; Michael J. Anderson; Jonathan D. Cohen 003; Alexander Heinecke; Kai Li 001; Nadathur Satish; Narayanan Sundaram; Nicholas B. Turk-Browne; Theodore L. Willke (SC, 2015)

Exploiting NVM in large-scale graph analytics. - Jasmina Malicevic; Subramanya Dulloor; Narayanan Sundaram; Nadathur Satish; Jeff Jackson; Willy Zwaenepoel (INFLOW@SOSP, 2015)

Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. - Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Jongsoo Park; Michael J. Anderson; Satya Gautam Vadlamudi; Dipankar Das 002; Sergey G. Pudov; Vadim O. Pirogov; Pradeep Dubey (ISC, 2015)

GraphMat: High performance graph analytics made productive. - Narayanan Sundaram; Nadathur Rajagopalan Satish; Md. Mostofa Ali Patwary; Subramanya Dulloor; Satya Gautam Vadlamudi; Dipankar Das 002; Pradeep Dubey (CoRR, 2015)

GraphMat: High performance graph analytics made productive. - Narayanan Sundaram; Nadathur Satish; Md. Mostofa Ali Patwary; Subramanya Dulloor; Michael J. Anderson; Satya Gautam Vadlamudi; Dipankar Das 002; Pradeep Dubey (Proc. VLDB Endow., 2015)

Real-time full correlation matrix analysis of fMRI data. - Yida Wang 003; Bryn Keller; Mihai Capota; Michael J. Anderson; Narayanan Sundaram; Jonathan D. Cohen 003; Kai Li 001; Nicholas B. Turk-Browne; Theodore L. Willke (IEEE BigData, 2016)

GraphIn: An Online High Performance Incremental Graph Processing Framework. - Dipanjan Sengupta; Narayanan Sundaram; Xia Zhu; Theodore L. Willke; Jeffrey S. Young 001; Matthew Wolf; Karsten Schwan (Euro-Par, 2016)

Data tiering in heterogeneous memory systems. - Subramanya Dulloor; Amitabha Roy 002; Zheguang Zhao; Narayanan Sundaram; Nadathur Satish; Rajesh Sankaran; Jeff Jackson; Karsten Schwan (EuroSys, 2016)

GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. - Michael J. Anderson; Narayanan Sundaram; Nadathur Satish; Md. Mostofa Ali Patwary; Theodore L. Willke; Pradeep Dubey (IPDPS, 2016)

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. - Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Jialin Liu 002; Peter J. Sadowski; Evan Racah; Surendra Byna; Craig Tull; Wahid Bhimji; Prabhat; Pradeep Dubey (IPDPS, 2016)

Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. - Tae Jun Ham; Lisa Wu 001; Narayanan Sundaram; Nadathur Satish; Margaret Martonosi (MICRO, 2016)

Designing scalable b-Matching algorithms on distributed memory multiprocessors by approximation. - Arif M. Khan; Alex Pothen; Md. Mostofa Ali Patwary; Mahantesh Halappanavar; Nadathur Rajagopalan Satish; Narayanan Sundaram; Pradeep Dubey (SC, 2016)

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. - Alexandru Iosup; Tim Hegeman; Wing Lung Ngai; Stijn Heldens; Arnau Prat-Pérez; Thomas Manhardt; Hassan Chafi; Mihai Capota; Narayanan Sundaram; Michael J. Anderson; Ilie Gabriel Tanase; Yinglong Xia; et al. (Proc. VLDB Endow., 2016)

Efficient Approximation Algorithms for Weighted b-Matching. - Arif M. Khan; Alex Pothen; Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Fredrik Manne; Mahantesh Halappanavar; Pradeep Dubey (SIAM J. Sci. Comput., 2016)

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. - Ancy Sarah Tom; Narayanan Sundaram; Nesreen K. Ahmed; Shaden Smith; Stijn Eyerman; Midhunchandra Kodiyath; Ibrahim Hur; Fabrizio Petrini; George Karypis (HPEC, 2017)

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. - Brian Friesen; Md. Mostofa Ali Patwary; Brian Austin; Nadathur Satish; Zachary Slepian; Narayanan Sundaram; Deborah Bard; Daniel J. Eisenstein; Jack Deslippe; Pradeep Dubey; Prabhat (SC, 2017)

Deep learning at 15PF: supervised and semi-supervised classification for scientific data. - Thorsten Kurth; Jian Zhang 049; Nadathur Satish; Evan Racah; Ioannis Mitliagkas; Md. Mostofa Ali Patwary; Tareq M. Malas; Narayanan Sundaram; Wahid Bhimji; Mikhail Smorkalov; Jack Deslippe; Mikhail Shiryaev; et al. (SC, 2017)

High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors. - Dipanjan Sengupta; Yida Wang 003; Narayanan Sundaram; Theodore L. Willke (ISC, 2017)

Bridging the Gap between HPC and Big Data frameworks. - Michael J. Anderson; Shaden Smith; Narayanan Sundaram; Mihai Capota; Zheguang Zhao; Subramanya Dulloor; Nadathur Satish; Theodore L. Willke (Proc. VLDB Endow., 2017)

Matrix-normal models for fMRI analysis. - Michael Shvartsman; Narayanan Sundaram; Mikio Aoi; Adam Charles; Theodore L. Willke; Jonathan D. Cohen 003 (AISTATS, 2018)

The LDBC Graphalytics Benchmark. - Alexandru Iosup; Ahmed Musaafir; Alexandru Uta; Arnau Prat-Pérez; Gábor Szárnyas; Hassan Chafi; Ilie Gabriel Tanase; Lifeng Nai; Michael J. Anderson; Mihai Capota; Narayanan Sundaram; Peter A. Boncz; et al. (CoRR, 2020)

First-Generation Inference Accelerator Deployment at Facebook. - Michael J. Anderson; Benny Chen; Stephen Chen; Summer Deng; Jordan Fix; Michael Gschwind; Aravind Kalaiah; Changkyu Kim; Jaewon Lee; Jason Liang; Haixin Liu; Yinghai Lu; et al. (CoRR, 2021)